Pu Liu

411 total citations
41 papers, 306 citations indexed

About

Pu Liu is a scholar working on Biomedical Engineering, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Pu Liu has authored 41 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 16 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Molecular Biology. Recurrent topics in Pu Liu's work include Biocrusts and Microbial Ecology (15 papers), Slime Mold and Myxomycetes Research (12 papers) and Muscle activation and electromyography studies (9 papers). Pu Liu is often cited by papers focused on Biocrusts and Microbial Ecology (15 papers), Slime Mold and Myxomycetes Research (12 papers) and Muscle activation and electromyography studies (9 papers). Pu Liu collaborates with scholars based in China, United States and Canada. Pu Liu's co-authors include Edward A. Clancy, Steven L. Stephenson, Yu Li, Ruixue Deng, Junpeng Yi, Jiayu Gao, Yu Li, Shu Li, Denis Rancourt and F. Martel and has published in prestigious journals such as Scientific Reports, Industrial Crops and Products and Archives of Microbiology.

In The Last Decade

Pu Liu

34 papers receiving 300 citations

Peers

Pu Liu
Comparison fields: 5 of 91
  • Biomedical Engineering 148
  • Cognitive Neuroscience 81
  • Ecology, Evolution, Behavior and Systematics 62
  • Molecular Biology 49
  • Plant Science 34
Replace Hanwool Park with:
Hanwool Park South Korea
Andrej Meglič Slovenia
Shabana Bhatti Canada
Qin Yin China
Hanyue Wang China
Dongwei Li China
Klaus Slenzka Germany
Lynn Booth New Zealand
Chubun Sato Japan
Jingjing Liu China
Hanwool Park South Korea View profile →
Citations per field, relative to Pu Liu
Pu Liu · 1×
Citations per year, relative to Pu Liu
Pu Liu · 1×

Countries citing papers authored by Pu Liu

Since Specialization
Citations

This map shows the geographic impact of Pu Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Liu more than expected).

Fields of papers citing papers by Pu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pu Liu. The network helps show where Pu Liu may publish in the future.

Co-authorship network of co-authors of Pu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Liu. A scholar is included among the top collaborators of Pu Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pu Liu. Pu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 4
9 8
10 28
11 5
12 6
13
Effect of Slope Gradient and Vegetation Cover on Sediment Yielding Characteristics of the Riparian Slope
6
14 1
15 1
16 15
17 2
18 4
19 3
20 10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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